コード例 #1
0
void
MDHistoToWorkspace2D::checkW2D(Mantid::DataObjects::Workspace2D_sptr outWS) {
  size_t nSpectra = outWS->getNumberHistograms();
  size_t length = outWS->blocksize();
  MantidVec x, y, e;

  g_log.information() << "W2D has " << nSpectra << " histograms of length "
                      << length;
  for (size_t i = 0; i < nSpectra; i++) {
    ISpectrum *spec = outWS->getSpectrum(i);
    x = spec->dataX();
    y = spec->dataY();
    e = spec->dataE();
    if (x.size() != length) {
      g_log.information() << "Spectrum " << i << " x-size mismatch, is "
                          << x.size() << " should be " << length << "\n";
    }
    if (y.size() != length) {
      g_log.information() << "Spectrum " << i << " y-size mismatch, is "
                          << y.size() << " should be " << length << "\n";
    }
    if (e.size() != length) {
      g_log.information() << "Spectrum " << i << " e-size mismatch, is "
                          << e.size() << " should be " << length << "\n";
    }
  }
}
コード例 #2
0
ファイル: GroupDetectors2.cpp プロジェクト: trnielsen/mantid
/**
*  Only to be used if the KeepUnGrouped property is true, moves the spectra that were not selected
*  to be in a group to the end of the output spectrum
*  @param unGroupedSet :: list of WORKSPACE indexes that were included in a group
*  @param inputWS :: user selected input workspace for the algorithm
*  @param outputWS :: user selected output workspace for the algorithm
*  @param outIndex :: the next spectra index available after the grouped spectra
*/
void GroupDetectors2::moveOthers(const std::set<int64_t> &unGroupedSet, API::MatrixWorkspace_const_sptr inputWS, API::MatrixWorkspace_sptr outputWS,
         size_t outIndex)
{
  g_log.debug() << "Starting to copy the ungrouped spectra" << std::endl;
  double prog4Copy = (1. - 1.*static_cast<double>(m_FracCompl))/static_cast<double>(unGroupedSet.size());

  std::set<int64_t>::const_iterator copyFrIt = unGroupedSet.begin();
  // go thorugh all the spectra in the input workspace
  for ( ; copyFrIt != unGroupedSet.end(); ++copyFrIt )
  {
    if( *copyFrIt == USED ) continue; //Marked as not to be used
    size_t sourceIndex = static_cast<size_t>(*copyFrIt);

    // The input spectrum we'll copy
    const ISpectrum * inputSpec = inputWS->getSpectrum(sourceIndex);

    // Destination of the copying
    ISpectrum * outputSpec = outputWS->getSpectrum(outIndex);

    // Copy the data
    outputSpec->dataX() = inputSpec->dataX();
    outputSpec->dataY() = inputSpec->dataY();
    outputSpec->dataE() = inputSpec->dataE();

    // Spectrum numbers etc.
    outputSpec->setSpectrumNo(inputSpec->getSpectrumNo());
    outputSpec->clearDetectorIDs();
    outputSpec->addDetectorIDs( inputSpec->getDetectorIDs() );

    // go to the next free index in the output workspace
    outIndex ++;
    // make regular progress reports and check for cancelling the algorithm
    if ( outIndex % INTERVAL == 0 )
    {
      m_FracCompl += INTERVAL*prog4Copy;
      if ( m_FracCompl > 1.0 )
      {
        m_FracCompl = 1.0;
      }
      progress(m_FracCompl);
      interruption_point();
    }
  }
  // Refresh the spectraDetectorMap
  outputWS->generateSpectraMap();

  g_log.debug() << name() << " copied " << unGroupedSet.size()-1 << " ungrouped spectra\n";
}
コード例 #3
0
ファイル: GroupDetectors2.cpp プロジェクト: trnielsen/mantid
/**
*  Move the user selected spectra in the input workspace into groups in the output workspace
*  @param inputWS :: user selected input workspace for the algorithm
*  @param outputWS :: user selected output workspace for the algorithm
*  @param prog4Copy :: the amount of algorithm progress to attribute to moving a single spectra
*  @return number of new grouped spectra
*/
size_t GroupDetectors2::formGroups( API::MatrixWorkspace_const_sptr inputWS, API::MatrixWorkspace_sptr outputWS, 
            const double prog4Copy)
{
  // get "Behaviour" string
  const std::string behaviour = getProperty("Behaviour");
  int bhv = 0;
  if ( behaviour == "Average" ) bhv = 1;

  API::MatrixWorkspace_sptr beh = API::WorkspaceFactory::Instance().create(
    "Workspace2D", static_cast<int>(m_GroupSpecInds.size()), 1, 1);

  g_log.debug() << name() << ": Preparing to group spectra into " << m_GroupSpecInds.size() << " groups\n";

  // where we are copying spectra to, we start copying to the start of the output workspace
  size_t outIndex = 0;
  // Only used for averaging behaviour. We may have a 1:1 map where a Divide would be waste as it would be just dividing by 1
  bool requireDivide(false);
  for ( storage_map::const_iterator it = m_GroupSpecInds.begin(); it != m_GroupSpecInds.end() ; ++it )
  {
    // This is the grouped spectrum
    ISpectrum * outSpec = outputWS->getSpectrum(outIndex);

    // The spectrum number of the group is the key
    outSpec->setSpectrumNo(it->first);
    // Start fresh with no detector IDs
    outSpec->clearDetectorIDs();

    // Copy over X data from first spectrum, the bin boundaries for all spectra are assumed to be the same here
    outSpec->dataX() = inputWS->readX(0);

    // the Y values and errors from spectra being grouped are combined in the output spectrum
    // Keep track of number of detectors required for masking
    size_t nonMaskedSpectra(0);
    beh->dataX(outIndex)[0] = 0.0;
    beh->dataE(outIndex)[0] = 0.0;
    for( std::vector<size_t>::const_iterator wsIter = it->second.begin(); wsIter != it->second.end(); ++wsIter)
    {
      const size_t originalWI = *wsIter;

      // detectors to add to firstSpecNum
      const ISpectrum * fromSpectrum = inputWS->getSpectrum(originalWI);

      // Add up all the Y spectra and store the result in the first one
      // Need to keep the next 3 lines inside loop for now until ManagedWorkspace mru-list works properly
      MantidVec &firstY = outSpec->dataY();
      MantidVec::iterator fYit;
      MantidVec::iterator fEit = outSpec->dataE().begin();
      MantidVec::const_iterator Yit = fromSpectrum->dataY().begin();
      MantidVec::const_iterator Eit = fromSpectrum->dataE().begin();
      for (fYit = firstY.begin(); fYit != firstY.end(); ++fYit, ++fEit, ++Yit, ++Eit)
      {
        *fYit += *Yit;
        // Assume 'normal' (i.e. Gaussian) combination of errors
        *fEit = std::sqrt( (*fEit)*(*fEit) + (*Eit)*(*Eit) );
      }

      // detectors to add to the output spectrum
      outSpec->addDetectorIDs(fromSpectrum->getDetectorIDs() );
      try
      {
        Geometry::IDetector_const_sptr det = inputWS->getDetector(originalWI);
        if( !det->isMasked() ) ++nonMaskedSpectra;
      }
      catch(Exception::NotFoundError&)
      {
        // If a detector cannot be found, it cannot be masked
        ++nonMaskedSpectra;
      }
    }
    if( nonMaskedSpectra == 0 ) ++nonMaskedSpectra; // Avoid possible divide by zero
    if(!requireDivide) requireDivide = (nonMaskedSpectra > 1);
    beh->dataY(outIndex)[0] = static_cast<double>(nonMaskedSpectra);

    // make regular progress reports and check for cancelling the algorithm
    if ( outIndex % INTERVAL == 0 )
    {
      m_FracCompl += INTERVAL*prog4Copy;
      if ( m_FracCompl > 1.0 )
        m_FracCompl = 1.0;
      progress(m_FracCompl);
      interruption_point();
    }
    outIndex ++;
  }
  
  // Refresh the spectraDetectorMap
  outputWS->generateSpectraMap();

  if ( bhv == 1 && requireDivide )
  {
    g_log.debug() << "Running Divide algorithm to perform averaging.\n";
    Mantid::API::IAlgorithm_sptr divide = createChildAlgorithm("Divide");
    divide->initialize();
    divide->setProperty<API::MatrixWorkspace_sptr>("LHSWorkspace", outputWS);
    divide->setProperty<API::MatrixWorkspace_sptr>("RHSWorkspace", beh);
    divide->setProperty<API::MatrixWorkspace_sptr>("OutputWorkspace", outputWS);
    divide->execute();
  }

  g_log.debug() << name() << " created " << outIndex << " new grouped spectra\n";
  return outIndex;
}
コード例 #4
0
ファイル: SumSpectra.cpp プロジェクト: trnielsen/mantid
/** Executes the algorithm
 *
 */
void SumSpectra::exec()
{
  // Try and retrieve the optional properties
  m_MinSpec = getProperty("StartWorkspaceIndex");
  m_MaxSpec = getProperty("EndWorkspaceIndex");
  const std::vector<int> indices_list = getProperty("ListOfWorkspaceIndices");

  keepMonitors = getProperty("IncludeMonitors");

  // Get the input workspace
  MatrixWorkspace_const_sptr localworkspace = getProperty("InputWorkspace");

  numberOfSpectra = static_cast<int>(localworkspace->getNumberHistograms());
  this->yLength = static_cast<int>(localworkspace->blocksize());

  // Check 'StartSpectrum' is in range 0-numberOfSpectra
  if ( m_MinSpec > numberOfSpectra )
  {
    g_log.warning("StartWorkspaceIndex out of range! Set to 0.");
    m_MinSpec = 0;
  }

  if (indices_list.empty())
  {
    //If no list was given and no max, just do all.
    if ( isEmpty(m_MaxSpec) ) m_MaxSpec = numberOfSpectra-1;
  }

  //Something for m_MaxSpec was given but it is out of range?
  if (!isEmpty(m_MaxSpec) && ( m_MaxSpec > numberOfSpectra-1 || m_MaxSpec < m_MinSpec ))
  {
    g_log.warning("EndWorkspaceIndex out of range! Set to max Workspace Index");
    m_MaxSpec = numberOfSpectra;
  }

  //Make the set of indices to sum up from the list
  this->indices.insert(indices_list.begin(), indices_list.end());

  //And add the range too, if any
  if (!isEmpty(m_MaxSpec))
  {
    for (int i = m_MinSpec; i <= m_MaxSpec; i++)
      this->indices.insert(i);
  }

  //determine the output spectrum id
  m_outSpecId = this->getOutputSpecId(localworkspace);
  g_log.information() << "Spectra remapping gives single spectra with spectra number: "
                      << m_outSpecId << "\n";

  m_CalculateWeightedSum = getProperty("WeightedSum");

 
  EventWorkspace_const_sptr eventW = boost::dynamic_pointer_cast<const EventWorkspace>(localworkspace);
  if (eventW)
  {
    m_CalculateWeightedSum = false;
    this->execEvent(eventW, this->indices);
  }
  else
  {
    //-------Workspace 2D mode -----

    // Create the 2D workspace for the output
    MatrixWorkspace_sptr outputWorkspace = API::WorkspaceFactory::Instance().create(localworkspace,
                                                           1,localworkspace->readX(0).size(),this->yLength);
    size_t numSpectra(0); // total number of processed spectra
    size_t numMasked(0);  // total number of the masked and skipped spectra
    size_t numZeros(0);   // number of spectra which have 0 value in the first column (used in special cases of evaluating how good Puasonian statistics is)
  
    Progress progress(this, 0, 1, this->indices.size());

    // This is the (only) output spectrum
    ISpectrum * outSpec = outputWorkspace->getSpectrum(0);

    // Copy over the bin boundaries
    outSpec->dataX() = localworkspace->readX(0);

    //Build a new spectra map
    outSpec->setSpectrumNo(m_outSpecId);
    outSpec->clearDetectorIDs();

    if (localworkspace->id() == "RebinnedOutput")
    {
      this->doRebinnedOutput(outputWorkspace, progress,numSpectra,numMasked,numZeros);
    }
    else
    {
      this->doWorkspace2D(localworkspace, outSpec, progress,numSpectra,numMasked,numZeros);
    }

    // Pointer to sqrt function
    MantidVec& YError = outSpec->dataE();
    typedef double (*uf)(double);
    uf rs=std::sqrt;
    //take the square root of all the accumulated squared errors - Assumes Gaussian errors
    std::transform(YError.begin(), YError.end(), YError.begin(), rs);

    outputWorkspace->generateSpectraMap();
    // set up the summing statistics
    outputWorkspace->mutableRun().addProperty("NumAllSpectra",int(numSpectra),"",true);
    outputWorkspace->mutableRun().addProperty("NumMaskSpectra",int(numMasked),"",true);
    outputWorkspace->mutableRun().addProperty("NumZeroSpectra",int(numZeros),"",true);


    // Assign it to the output workspace property
    setProperty("OutputWorkspace", outputWorkspace);

  }
}